techsupport:services:jupyter
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techsupport:services:jupyter [2021/08/10 20:01] – kjohns23 | techsupport:services:jupyter [2023/02/22 20:44] (current) – kjohns23 | ||
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Any notebooks you save in one environment are persistent on the SoCS Jupyter Server and are accessible though any of the available environments. | Any notebooks you save in one environment are persistent on the SoCS Jupyter Server and are accessible though any of the available environments. | ||
- | |||
- | ==== Changing your Environment ==== | ||
- | If you need to change to a different environment, | ||
- | |||
- | {{: | ||
- | |||
- | Then click "Stop Server" | ||
- | |||
- | {{: | ||
==== Jupyter Environments ==== | ==== Jupyter Environments ==== | ||
- | === Minimal=== | ||
- | This is a basic Jupyter environment to support Python notebooks. Details of all installed utilities can be found in the [[https:// | ||
- | |||
=== Datascience=== | === Datascience=== | ||
This Jupyer environment includes libraries for data analysis from the Julia, Python, and R communities. Details of installed utilites can be found in the [[https:// | This Jupyer environment includes libraries for data analysis from the Julia, Python, and R communities. Details of installed utilites can be found in the [[https:// | ||
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In addition to the default available packages, the following R libraries have been added. | In addition to the default available packages, the following R libraries have been added. | ||
+ | * DAAG | ||
* FactoMineR | * FactoMineR | ||
+ | * car | ||
+ | * caret | ||
+ | * corrplot | ||
+ | * dplyr | ||
+ | * e1071 | ||
* factoextra | * factoextra | ||
- | * readr | ||
* ggplot2 | * ggplot2 | ||
* ggraph | * ggraph | ||
- | * tidyr | ||
- | * dplyr | ||
- | * shiny | ||
- | * caret | ||
- | * tidyverse | ||
- | * e1071 | ||
- | * plotly | ||
* knitr | * knitr | ||
- | * mlr3 | ||
- | * xgboost | ||
- | * xml | ||
* lubridate | * lubridate | ||
- | * car | + | * mclust |
- | * corrplot | + | * mlbench |
- | * DAAG | + | * mlr3 |
+ | * pROC | ||
* party | * party | ||
+ | * plotly | ||
+ | * readr | ||
* rpart | * rpart | ||
* rpart.plot | * rpart.plot | ||
- | * mlbench | + | * shiny |
- | * pROC | + | * tidyr |
+ | * tidyverse | ||
* tree | * tree | ||
- | * mclust | + | * xgboost |
+ | * xml | ||
=== SoCS and Java === | === SoCS and Java === | ||
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This environment includes the [[http:// | This environment includes the [[http:// | ||
- | ==== Adding Libraries ==== | + | ==== Adding Libraries |
- | You can add additional libraries to your own notebooks | + | You may want to create a separate environment that contains specific versions of packages. You can use Conda to set this up. Any environments you create will persist after logging out. To set up a basic environment open the Terminal through the Jupyter Launcher and enter one of the following. |
+ | |||
+ | * < | ||
+ | * < | ||
+ | |||
+ | Once you have set up your environment you can view it in the list of available kernels in the Jupyter Launcher. | ||
+ | |||
+ | * [[https:// | ||
+ | * [[https:// | ||
+ | |||
+ | ==== Jupyterhub Extensions ==== | ||
+ | The following extensions have been installed and made available for the Jupyter Datascience Environment. | ||
+ | |||
+ | === nbgitpuller === | ||
+ | nbgitpuller allows you to distribute a git repository containing jupyter | ||
+ | |||
+ | === jupyterlab-git === | ||
+ | This git extension allows both push and pull operations to manage jupyter notebooks with git, however it is slightly more complex to use than nbgitpuller. Details on how to use this extension can be found here: https:// | ||
+ | |||
+ | ==== Changing | ||
+ | If you need to change to a Jupyter different environment, you will need to stop your server and start a new one. First, click " | ||
+ | |||
+ | {{: | ||
+ | |||
+ | Then click "Stop Server" | ||
+ | |||
+ | {{: |
techsupport/services/jupyter.1628625681.txt.gz · Last modified: 2021/08/10 20:01 by kjohns23